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Job Description The National University of Singapore invites applications for Senior Research Fellow (Data Science & Statistics) in the Centre for Research in Health Systems Performance, Yong Loo
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Job Description The National University of Singapore (NUS) is offering a position for a postdoctoral fellow who will work closely with Dr. Wang Chi Cheung and Dr. Vincent Tan in online machine learning (reinforcement learning, multi-armed bandits). This position is expected to last from one to...
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include agent based/individual based modelling, SEIR modelling, geospatial statistics, Bayesian statistics, burden mapping, measuring the impact of the environment on disease among others. The PI has
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of doctoral/postgraduate research students. Job Requirements • Possess a PhD in Travel behaviour, Management, Economics, Statistics, Psychology or related disciplines. • Has good understanding
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and research team Perform data cleaning, statistical analysis and data visualization using a variety of statistical methods including bioinformatics platforms such as R and Python Perform literature
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contacted. Job Requirements • Possess a PhD degree in Civil Engineering or Materials Engineering with demonstrated experience in designing and conducting experiments, performing statistical data analysis
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, metrology, electrical testing, and strong in data analysis will have advantage. • Proficiency in data analysis and interpretation using statistical tools and software packages. • Excellent communication
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analysis, manuscript preparation and grant applications. Possess good understanding and knowledge of statistical methods using either R, Stata, Python or SPSS softwares. Appointments will be made on a yearly
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. • Integrating existing literature to propose research ideas and hypotheses, develop and implement empirical analysis using various statistical software. Methodologies used include machine learning, regression
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PhD degree (transportation engineering, operations research, computer engineering/science, or related disciplines) • Strong interests and expertise in traffic simulation, statistical modeling